| Summary: | 碩士 === 中興大學 === 水土保持學系所 === 95 === This study selected two test sites for 3D laser scanning to establish the operation procedures for using terrestrial 3D laser scanning on recognition of rockslope outcrops and verify the feasibility of fuzzy clustering in obtaining attitudes of outcrops. The procedures can reduce the danger and time of geologists in measuring attitudes by using geological compass on surfaces of outcrops. Through field measurement using 3D scanner to scan the surfaces of outcrops, spatial coordinates of point clouds can be obtained. After point clouds were obtained, the Fast Radial Basic Function (FastRBF) Toolbox in Matlab is then applied to interpolate and convert the point clouds into different grid size data sets of triangular grids. The plane equation was used to calculate the attitudes of grids. Base on the hypothesis of discontinue plane sets that should have similar attitudes, the fuzzy clustering algorithm was applied to classify the attitudes of each grid into groups. This study converted attitudes into unit normal vectors and used different cluster numbers (K=2∼7) to classify attitudes into groups. According to the attribute matrix of clustering result, different colors were used to plot for the original outcrop surfaces, so that the classified attitude groups can be visualized and can be transformed from unit normal vectors to each attitude. Comparing cluster attitudes with attitudes measured in-situ, it is found that there were about 0∼10 degrees difference. But the trend between the two attitudes was similar. Therefore, it is proved that the operation procedures proposed in this study is feasible and can be an good choice in surface geological survey.
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